Computational and Statistical Methods for Analysing Big Data with Applications
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- Probability & Statistics - Calculus & Mathematical Analysis - Maths - Differential Equations - Statistics & Probability |
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| Brand |  Academic Press is a scientific and academic publishing company. It was founded in 1951 and is now a subsidiary of Elsevier. |
| MPN | Academic Press colour illustrations |
| ID | 23039744 |
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This book provides an excellent introduction to the field of computational and statistical methods for analyzing big data. It covers a wide range of topics, from basic concepts to advanced techniques, and provides detailed explanations of each method. The examples used throughout the book are well chosen and help to illustrate the concepts in a clear and concise manner. The book also includes a number of exercises that allow readers to practice their skills. Overall, this book is an invaluable resource for anyone interested in learning more about big data analysis. It is well written, comprehensive, and provides a great foundation for further exploration. With its rating of 7 out of 10, this book is definitely worth considering for anyone looking to gain a better understanding of big data analysis.
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